AWS for DevOps: Monitoring, Metrics, and Logging

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Free Online Course: AWS for DevOps: Monitoring, Metrics, and Logging provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. AWS for DevOps: Monitoring, Metrics, and Logging is taught by Lynn Langit.

Overview
  • Learn about instrumenting production AWS applications. Explore topics from the Monitoring Metrics and Logging domain of the AWS Certified DevOps Engineer – Professional exam.

Syllabus
  • Introduction

    • Welcome
    • Exercise files
    • What you should know and using cloud services
    1. Monitoring Approaches
    • Monitor approaches
    • Outcome-based monitoring
    • What to monitor: Metrics and services
    • Tools for monitoring and logging
    • Application monitoring
    2. Monitoring Core AWS Services
    • Setup for AWS monitoring
    • Use CloudFormation templates
    • Monitor S3
    • Monitor EC2
    • Monitor Lambda
    • Monitor RDS
    • Monitor Kinesis
    • Monitor EMR
    3. Core AWS Tools for Metrics and Logging
    • Console tools for metrics
    • Use CloudWatch for service monitoring
    • Script tools for metrics
    • Set up and use the AWS CLI for metrics
    • Use the AWS CLI for metrics
    • Code tools for metrics
    • Setting up the AWS SDK for Node.js
    • Use the AWS SDK by example for metrics
    4. Using AWS Services for Advanced Monitoring
    • AWS management tools for monitoring
    • Use CloudFormation
    • Use Service Catalog
    • Use CloudTrail
    • Use Config
    • Use OpsWorks
    • Use Trusted Advisor
    5. Advanced and Third-Party Tools
    • Use CloudFormation for applications
    • Use a third-party service: Loggly
    • Use Inspector
    • Use X-Ray, new from AWS
    • Use a third-party New Relic
    6. Application Monitoring
    • Compare monitoring tools
    • Monitor applications via EC2 best practices
    • Key considerations for monitoring
    Conclusion
    • Next steps